Beijing Kuangshi Technology Co., Ltd.

Beijing Xiaomi Mobile Software Co., Ltd.

Megvii (beijing) Technology Co., Ltd.

Haibin Huang

Jue Wang

Chen Zhang

Liang Qiao

Keqing Chen

Chi-Hao Wu

Lisheng Sun

A method for detecting a slow node includes: obtaining a generated record for a first storage node, the generated record including a storage node generation time, and a number of times and consuming time for transmitting data to second storage nodes other than the first storage node; obtaining a valid record from the generated record, the valid record being generated within a preset time period, and the preset time period being within a time period between the storage node generation time and a current time; determining an average consuming time for the first storage node transmitting the data to each of the second storage nodes, based on the number of times and the consuming time in the valid record; and detecting the slow node in the second storage nodes based on the average consuming time.

Method and device for detecting slow node and computer-readable storage medium

A face modeling method and apparatus, an electronic device and a computer-readable medium. Said method comprises: acquiring multiple depth images, the multiple depth images being obtained by photographing a target face at different irradiation angles; performing alignment processing on the multiple depth images to obtain a target point cloud image; using the target point cloud image to construct a three-dimensional model of the target face. The present disclosure alleviates the technical problems of poor robustness and low precision of the three-dimensional model constructed according to the three-dimensional model constructing method.

Face modeling method and apparatus, electronic device and computer-readable medium

The present disclosure provides a method, an electronic device, and a medium for image fusion. The method includes calculating a fusion coefficient image M based on a first frame image I1 or based on both the first frame image I1 and a second frame image I2; calculating a first gradient D1 of the first frame image I1 and a second gradient D2 of the second frame image I2; calculating a preliminary fusion result J based on the image M, the first gradient D1 and the second gradient D2; and obtaining an output image I3 based on the image M, the first gradient D1, the second gradient D2 and the preliminary fusion result J, wherein brightness of the first frame image I1 is greater than brightness of the second frame image I2, and wherein the image M is used to mark fusion weights of pixels in the first frame image I1.

Method, apparatus and electric device for image fusion

A detection method for an image acquisition device, a detection device for an image acquisition device, an electronic device and a computer readable storage medium are disclosed. The image acquisition device includes a light source and a diffuser, the diffuser is configured to scatter light emitted by the light source and the light emitted by the light source is irradiated on at least partial area of a scene, the image acquisition device includes: acquiring an image of the scene; determining an effective area of the image; and determining whether or not the diffuser is in an abnormal working state according to information of the effective area.

Detection method and detection device, electronic device and computer readable storage medium

This disclosure provides an image processing method, an electronic device and a non-transitory computer-readable storage medium, and relates to the field of image processing technique. The image processing method and apparatus and the electronic device provided by this application perform denoising on the to-be-processed image to obtain a denoised image, and then perform detail enhancement on the target area image extracted from the denoised image to obtain a detail enhanced image, thereafter fuse the denoised image with the detail enhanced image to obtain an output image. Since detail enhancement has been performed on the target area image, the obtained output image is sharper and the display effect is better.

Performing detail enhancement on a target in a denoised image

The embodiment of the present disclosure relates to an image processing method, which includes: acquiring a first image and a second image captured for a same object; and determining depth information of the object according to the first image and the second image. The embodiment of the present disclosure further provides an image processing device and a computer readable medium.

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Beijing, China

Haibin Huang